Modeling Trophic Cascades to Identify Key Mammalian Species for Ecosystem Stability by Idung Risdiyanto, Yanto Santosa, Nyoto Santoso, Arzyana Sunkar

“…Known as KVT version 1.0, the model explains the role of each characteristic variable of mammalian species, predicts population growth, elucidates species interactions at trophic levels, and assesses species-specific dietary compositions, including food requirements, reproduction, and activity. …”
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A bi-variate framework to model microbiome resilience in healthy dogs by Fabio Mainardi, Marc Garcia-Garcera, Andrea K. Nash

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Minimal mesoscale model for protein-mediated vesiculation in clathrin-dependent endocytosis. by Neeraj J Agrawal, Jonathan Nukpezah, Ravi Radhakrishnan

“…Based on the observed strong dependence of the vesicle diameter on the bending rigidity, we suggest that the variability in bending stiffness due to variations in membrane composition with cell type can explain the experimentally observed variability on the size of clathrin-coated vesicles, which typically range 50-100 nm. …”
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Significant Serpents: Predictive Modelling of Bioclimatic Venom Variation in Russell's Viper. by Navaneel Sarangi, R R Senji Laxme, Kartik Sunagar

“…Our models effectively captured regional differences in venom composition and linked climatic conditions with functional variations.…”
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Study of the Geographical Distribution, Ecological–Biological Characteristics, and Economic Value of <i>Rosa acicularis</i> Lindl., <i>Rosa laxa</i> Retz., and <i>Rosa spinosissima... by Alevtina N. Danilova, Tatyana A. Vdovina, Yuriy A. Kotukhov, Olga A. Anufriyeva, Andrey A. Vinokurov, Elena A. Isakova, Olga A. Lagus, Aidar A. Sumbembayev

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Assessment of RBFs Based Meshfree Method for the Vibration Response of FGM Rectangular Plate Using HSDT Model by Manish Srivastava, Jeeoot Singh

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Modeling actinic flux and photolysis frequencies in dense biomass burning plumes by J.-L. Tirpitz, S. F. Colosimo, N. Brockway, R. Spurr, M. Christi, S. Hall, K. Ullmann, J. Hair, T. Shingler, R. Weber, J. Dibb, R. Moore, E. Wiggins, V. Natraj, N. Theys, J. Stutz

“…Systematic biases between the model and observations are within 2 %, indicating that the uncertainties are most likely due to variability in the input data caused by the inhomogeneity of the plume as well as 3D RT effects not captured in the model. …”
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Modelling Arctic lower-tropospheric ozone: processes controlling seasonal variations by W. Gong, S. R. Beagley, K. Toyota, H. Skov, J. H. Christensen, A. Lupu, D. Pendlebury, J. Zhang, U. Im, Y. Kanaya, A. Saiz-Lopez, R. Sommariva, R. Sommariva, P. Effertz, P. Effertz, J. W. Halfacre, N. Jepsen, R. Kivi, T. K. Koenig, K. Müller, C. Nordstrøm, I. Petropavlovskikh, I. Petropavlovskikh, P. B. Shepson, W. R. Simpson, S. Solberg, R. M. Staebler, D. W. Tarasick, R. Van Malderen, M. Vestenius

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Studying the Uptake of Toxic Metals by Plants using New Mathematical Modeling by Hussein Hassan Kharnoob, Hasan Ahmed Hasan

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Examination of Strength Modeling Reliability of Physical Tests on Structural Concrete Columns by Sher Ali Mirza

“…The columns were subjected to short-term loads producing pure axial force, axial force combined with symmetrical single-curvature bending, or pure bending. Major variables included the concrete strength, the end eccentricity ratio, the slenderness ratio, the longitudinal reinforcing steel index for reinforced concrete or the structural steel index for composite columns, and the transverse reinforcement (tie/hoop) volumetric ratio. …”
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The Weight Minimization of a UAV Wing Component Through Structural Optimization by Andreas Psarros, Georgios Savaidis

“…This study focuses on the structural optimization of a composite wing element for an unmanned aerial vehicle. …”
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LIGHTWEIGHT DESIGN FOR OVERHAUL TOOLING SUPPORT SEAT BASED ON TOPOLOGY OPTIMIZATION AND SIX SIGMA ROBUSTNESS by WANG ZiNing, WU JianJun, XIANG JianMing, WANG BaiSong, JIN YingQi

“…Support seat’s topology structures was extracted based on topology optimization with variable density method. The response surface model was established based on the central composite design method and the finite element numerical simulation technique. …”
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Primary prevention cardiovascular disease risk prediction model for contemporary Chinese (1°P-CARDIAC): Model derivation and validation using a hybrid statistical and machine-learn... by Yekai Zhou, Celia Jiaxi Lin, Qiuyan Yu, Joseph Edgar Blais, Eric Yuk Fai Wan, Emmanuel Wong, Kathryn Tan, David Chung-Wah Siu, Kai Hang Yiu, Esther Wai Yin Chan, Doris Yu, William Wong, Tak-Wah Lam, Ian Chi Kei Wong, Ruibang Luo, Celine S L Chui

“…A basic model was developed with the integration of statistically significant and important subset of risk variables by least absolute shrinkage and selection operator (LASSO) regression. …”
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The Truck Platooning Routing Optimization Model Based on Multicommodity Network Flow Theory by Zexi Zhang

“…The output of the routing optimization model could both reflect the composition of each truck platooning on each link and directly show the routings of each truck. …”
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Parametric LCA model for Ti6Al4V powder production by Christian Spreafico, Baris Ördek

“…This holistic, multi-variable optimization approach provides unprecedented, actionable insights by identifying optimal operational settings, not just sensitivities, for enhancing the sustainability of Ti6Al4V powder production, overcoming limitations of prior static or phase-specific parametric models.…”
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The Application of Vibroacoustic Mean and Peak-to-Peak Estimates to Assess the Rapidly Changing Thermodynamic Process of Converting Energy Obtained from Various Fuel Compositions U... by Marek Waligórski, Maciej Bajerlein, Wojciech Karpiuk, Rafał Smolec, Jakub Pełczyński

“…The influence of dimethyl ether on combustion efficiency was quantified using performance indicators, emission parameters, and vibration estimates (compared to diesel fuel). Mathematical models of combustion and its variability were created using the mean, peak-to-peak amplitude, root mean square error, and peak amplitudes of vibration accelerations, which were also represented using vibration graphics. …”
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Use of response surface methodology (RSM) for composite blends of low grade broken rice fractions and full-fat soybean flour by a twin-screw extrusion cooking process by Nahemiah Danbaba, Iro Nkama, Mamudu Halidu Badau

“…The p-value and lack-of-fit tests of the models could well explain the observed variability and therefore could be used to establish production setting for the twin-screw extruder. …”
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Modelling of biological age in stable and acute exacerbations of chronic obstructive pulmonary disease by Yujiao Wang, Ting Mu, Yufen Fu, Yuxin Wang, Guoping Li

“…The dataset was partitioned into training and validation sets at a 7:3 ratio, and LASSO regression was applied to refine the model's variable composition. To assess the ability of different variables to discriminate current disease status, we developed the initial model and three subsequent models, with the following variables added in the new model: Chronological age (CA), BA, and biological age acceleration. …”
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Estimation of the compressive strength of ultrahigh performance concrete using machine learning models by Rakesh Kumar, Divesh Ranjan Kumar, Warit Wipulanusat, Chanachai Thongchom, Pijush Samui, Baboo Rai

“…The models trained on the UHPC mixture dataset with 15 input variables included the group method of data handling, recurrent neural networks, long short-term memory, and bidirectional long short-term memory (Bi-LSTM). …”
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A spike is a spike: On the universality of spike features in four epilepsy models by Armen Sargsyan, Pablo M. Casillas‐Espinosa, Dmitri Melkonian, Terence J. O'Brien, Gilles vanLuijtelaar

“…The slow component showed a much larger variability across the rat models. Significance Despite differences in the morphology of the epileptiform activity in different models, the frequency composition of the spike component of single SWCs is identical and does not depend on the particular epilepsy model. …”
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